10/19/2026 updated
100 % available
Junior AI & Automation Engineer | Research Software Developer
Beijing, China
Only remote
Undergraduate, Biological Sciences (expected 2028)About me
Life Sciences undergraduate building AI-assisted software, agent workflows and research automation tools. Hands-on with Python, APIs, debugging, regression testing and open-source collaboration. I enjoy turning ambiguous problems into reproducible, working systems.
LLMArtificial IntelligenceAutomationDebuggingGitHubPython (Programming Language)Open Source IntelligenceData ProcessingTestingChatbotsPrompt EngineeringGitRestful Api
AI & Agents
Expertise in LLM applications, prompt design, tool orchestration, structured outputs, model routing and human review. Development of multi-step agent workflows separating semantic reasoning from deterministic API calls, including parsing, DOI validation, caching and control flow.
Python Engineering & Automation
Proficiency in Python for building research automation tools, AI-assisted coding workflows, and pipeline development. Experience with Git, GitHub, REST APIs, debugging, regression testing, CI workflows and code review.
Document & Data Pipeline Development
Design and implementation of PDF, DOCX, CSV, TSV and XLSX pipelines with metadata extraction, provenance tracking, validation, deduplication and safe file handling.
Open-Source Contribution & Bioinformatics Software
Diagnosis and fixing of spatial-cell indexing defects, SRA/BAM regression tests, Cython and CI issue investigation, and reproducible technical reporting for open-source bioinformatics projects such as Malva, RegVelo and SPACER.
Regression Testing & Quality Assurance
Validation of fixes through regression checks, mock API tests, syntax validation, structured testing, Ruff, pytest, git diff checks and Codecov verification.
Local AI Tooling & Workflow Automation
Extension of local AI coding workflows combining filesystem access, shell commands, Git operations, persistent processes and checkpoint-based development with emphasis on reproducibility and human review.
Computational Research & Bioinformatics
Application of programming and computational tools to biological research problems, spanning bioinformatics, biological-data analysis, molecular biology and experimental-result interpretation.
Security & Workspace Governance
Review of security boundaries around workspace access, approval behavior, credential exposure and audit logging in AI-assisted development environments.
Expertise in LLM applications, prompt design, tool orchestration, structured outputs, model routing and human review. Development of multi-step agent workflows separating semantic reasoning from deterministic API calls, including parsing, DOI validation, caching and control flow.
Python Engineering & Automation
Proficiency in Python for building research automation tools, AI-assisted coding workflows, and pipeline development. Experience with Git, GitHub, REST APIs, debugging, regression testing, CI workflows and code review.
Document & Data Pipeline Development
Design and implementation of PDF, DOCX, CSV, TSV and XLSX pipelines with metadata extraction, provenance tracking, validation, deduplication and safe file handling.
Open-Source Contribution & Bioinformatics Software
Diagnosis and fixing of spatial-cell indexing defects, SRA/BAM regression tests, Cython and CI issue investigation, and reproducible technical reporting for open-source bioinformatics projects such as Malva, RegVelo and SPACER.
Regression Testing & Quality Assurance
Validation of fixes through regression checks, mock API tests, syntax validation, structured testing, Ruff, pytest, git diff checks and Codecov verification.
Local AI Tooling & Workflow Automation
Extension of local AI coding workflows combining filesystem access, shell commands, Git operations, persistent processes and checkpoint-based development with emphasis on reproducibility and human review.
Computational Research & Bioinformatics
Application of programming and computational tools to biological research problems, spanning bioinformatics, biological-data analysis, molecular biology and experimental-result interpretation.
Security & Workspace Governance
Review of security boundaries around workspace access, approval behavior, credential exposure and audit logging in AI-assisted development environments.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Built and iterated a Python research application combining LLMs, document ingestion, evidence retrieval, structured extraction, validation and reproducible research workflows. Designed PDF/DOCX/CSV/TSV/XLSX pipelines with metadata extraction, provenance tracking, validation, deduplication and safe file handling. Implemented dynamic model discovery and routing across hosted and local AI providers, including role-based model selection, usage tracking and cost accounting. Developed multi-step agent workflows and maintained Git-based version control with iterative releases.
Diagnosed and fixed a spatial-cell indexing defect in Malva affecting cell 0, added SRA/BAM regression tests. Investigated Cython, CI and hosted-runtime issues and produced reproducible technical reports. Identified incorrect Python identity comparisons in RegVelo and implemented regression-tested fixes. Audited model-training code in SPACER and identified a FedProx implementation defect, producing a minimal fix verified with syntax and consistency checks.
Extended local AI coding workflows combining filesystem access, shell commands, Git operations, persistent processes and checkpoint-based development. Reviewed security boundaries around workspace access, approval behavior, credential exposure and audit logging. Used AI-assisted development as an engineering workflow with repeated emphasis on reproducibility, testing and human review.